Week 5: TBL: Classification and Logistic Regression

Weekly Objectives

• Binary variables and Bernoulli distribution
• Model the probability of a binary variable
• The logistic link
• Logistic regression
• Interpreting parameters in a logistic regression
• Testing the significance of a variable
• Performing logistic regression in R
• Measuring the model accuracy
• The ROC curve and area under the curve (AUC)
• Dealing with categorical predictors

Lecture Note

R Examples